Triple

T22740869
Position Surface form Disambiguated ID Type / Status
Subject Haderslev Municipality E562407 entity
Predicate contains P35 FINISHED
Object Bjerning
Bjerning is a small locality in southern Denmark situated within the administrative area of Haderslev Municipality in the Region of Southern Denmark.
 E1551953 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Bjerning | Statement: [Haderslev Municipality, contains, Bjerning]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bjerning
Context triple: [Haderslev Municipality, contains, Bjerning]
  • A. Bragernes
    Bragernes is a historic former town and district that now forms the northern part of the city of Drammen in Norway.
  • B. Svaneke
    Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
  • C. Tysvær
    Tysvær is a coastal municipality in southwestern Norway known for its fjords, islands, and location between the cities of Haugesund and Stavanger.
  • D. Jyllinge
    Jyllinge is a Danish town on the eastern shore of Roskilde Fjord, known for its marina, residential areas, and proximity to the city of Roskilde.
  • E. Solbjerg
    Solbjerg is a suburban town and residential area in the southern part of Aarhus, Denmark.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bjerning
Triple: [Haderslev Municipality, contains, Bjerning]
Generated description
Bjerning is a small locality in southern Denmark situated within the administrative area of Haderslev Municipality in the Region of Southern Denmark.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bjerning
Target entity description: Bjerning is a small locality in southern Denmark situated within the administrative area of Haderslev Municipality in the Region of Southern Denmark.
  • A. Bragernes
    Bragernes is a historic former town and district that now forms the northern part of the city of Drammen in Norway.
  • B. Svaneke
    Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
  • C. Tysvær
    Tysvær is a coastal municipality in southwestern Norway known for its fjords, islands, and location between the cities of Haugesund and Stavanger.
  • D. Jyllinge
    Jyllinge is a Danish town on the eastern shore of Roskilde Fjord, known for its marina, residential areas, and proximity to the city of Roskilde.
  • E. Solbjerg
    Solbjerg is a suburban town and residential area in the southern part of Aarhus, Denmark.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e245513a5c81908d5cb471b4fc429d completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17972fde8819086094cea289a2af8 completed April 29, 2026, 3:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b8fd07e9481909ff8057024ea2d94 completed May 18, 2026, 10:16 p.m.
NEDg Description generation batch_6a0b92e5412c81909968a22571229283 completed May 18, 2026, 10:29 p.m.
NED2 Entity disambiguation (via description) batch_6a0b93668f0c8190b86094e42fa89c1d completed May 18, 2026, 10:32 p.m.
Created at: April 17, 2026, 3:23 p.m.